What you'll receive
- The successful applicant will receive a living allowance of $28,597 per annum for three years, indexed annually.
- The scholarship is for full time study and can be used to support living costs.
- A six-month extension to the scholarship is also possible, subject to approval by QUT.
- A successful international student will be considered for a HDR tuition fee sponsorship, if successful in receiving the scholarship.
- meet QUT academic and English language entry requirements for the Doctor of Philosophy
- have recently completed one of:
- a research masters degree in applied/computational mathematics, applied physics or mechanical engineering, or related disciplines
- a masters with a significant research component (or equivalent)
- a first-class honours (H1) degree or equivalent.
The applicants would ideally have an interest in working predominantly in computational engineering. Skills in viscoelastic fluids and microfluidics will be important. Ability to work independently and to formulate and tackle research problems will also be important. The ideal candidate will have excellent organisational skills, be highly analytical, able to multitask under tight time frames.
The provision of a scholarship is conditional on successful application and admission to the Doctor of Philosophy course. Eligibility for admission to a research degree is determined by the Graduate Research Centre.
How to apply
Contact Associate Professor Emilie Sauret via email email@example.com for more details.
The assessment of potential candidates is made primarily on the basis of academic results from Bachelor and Master degree studies. Special attention is paid to the following:
- demonstrated knowledge and skills relevant to the thesis project and the subject of study
- demonstrated knowledge in at least one of the following areas: computational fluid dynamics (CFD, in particular Lattice Boltzmann method), numerical methods, uncertainty quantification and Bayesian methods, machine learning, reduced order modelling, and applied and computational mathematical modelling, viscoelastic fluid flows
- demonstrated programming skills (C++, Matlab, Python)
- demonstrated written and oral communication skills with very good proficiency in English.
- ability to work independently and to formulate and tackle research problems will be critical. Excellent organisational skills, be highly analytical, able to multitask under tight time frames will be considered highly.
Applications shall be written in English and sent to A./Prof. Emilie Sauret, and include a cover letter stating the reasons why you are interested in the position, addressing the criteria, and in what way the research project corresponds to your interests and educational background. The application must also contain a CV, degree certificate or equivalent, English requirements, and other documents you wish to be considered (grade transcripts, contact information for your references, letters of recommendation, etc.).
The provision of a scholarship is conditional on successful application and admission to the Doctor of Philosophy course. Eligibility for admission to a research degree is determined by the Graduate Research Centre and processed via QUT's Application Portal:
- Follow the steps to apply for a research degree
- Submit your expression of interest in a timely manner
- Indicate your interest in this scholarship by nominating Associate Professor Emilie Sauret as principal supervisor and include the name of this scholarship in the financial details section.
If your expression of interest is accepted you will be invited to submit a full application including a research proposal to finalise your application.
What happens next?
Short-listed applicants will undergo an interview process.
Applications will remain open until a suitable candidate is found.
Applicants will be assessed against the Faculty of Science and Faculty of Engineering admission criteria:
Due to COVID-19 travel restrictions, preference and priority will be given to Australian and New Zealand students, and resident international students. However, exceptional international applicants will be considered.
Due to COVID-19 travel restrictions, preference/priority will be given to Domestic or Resident International students but exceptional International applicants will be considered.
About the scholarship
Project Title: Physics-informed model-parameter calibration for multi-component high-order Lattice Boltzmann approach
Miniaturisation is one of the most important current drivers for chemical and biological processes involved in gas sensing, water purification, cell culture and separation, and micro-reactors, among others. The lack of fundamental understanding of the microscopic fluid flow mechanisms, in particular the behaviour of non-ideal fluid mixtures, is a critical aspect underpinning the development of cutting-edge technologies. The present project will address the yet-to-be-solved challenges related to model-parameter uncertainties and cost associated with fine tuning these parameters in Lattice Boltzmann models. The project will develop a machine-learning(ML)-based approach that will allow for LB calibration.
This PhD project will be supervised by Assoc Prof Sauret as part of a research project funded by the Australian Research Council (ARC) in collaboration with international experts from Australia, Europe, and the US.
The PhD student will join an international team of scientists dedicated to developing computational modelling for microfluidics and advancing knowledge of non-ideal fluid mixture behaviours that are critical for the rational design and robust optimisation of microfluidic applications. The project will be based in Queensland with collaborators spanning across Australia, Europe, and the US. Over three years, the successful applicants will have gained a broad range of technical skills and a sound understanding of computational microfluidics, positioning them ideally for a future career in a range of relevant disciplines.
You will have the opportunity to:
- develop multidisciplinary skills across applied physics, engineering, computer modelling, and applied mathematics
- work with an inclusive and supportive team of international experts located in Australia, Europe, and the US
- develop ties with industry.
The successful applicant will work closely with a team including scientists from leading Australian universities and international collaborators in EU and US. On a day to day basis, supervision will be provided by Assoc Prof Emilie Sauret who leads an active team of postgraduate researchers and technical staff in this area. The project is part of her research project funded by the Australian Research Council (ARC).
The main duties of the doctoral student are to devote themselves to their research studies which includes participating in research projects and actively engaging in group meetings, presenting your research work via reports and disseminating your research findings through conference and journal publications. The work can also include teaching and other departmental duties.
The student will be based in the Science and Engineering Faculty at Queensland University of Technology, Gardens Point, Brisbane.
1 March 2021
For further information please contact Associate Professor Emilie Sauret.